Overview

Dataset statistics

Number of variables16
Number of observations1184
Missing cells0
Missing cells (%)0.0%
Total size in memory138.9 KiB
Average record size in memory120.1 B

Variable types

Numeric2
Text14

Alerts

Unnamed: 0 has unique valuesUnique
key_id has unique valuesUnique
match_id has unique valuesUnique

Reproduction

Analysis started2023-10-23 21:39:36.267607
Analysis finished2023-10-23 21:39:36.701539
Duration0.43 seconds
Software versionydata-profiling vv4.6.0
Download configurationconfig.json

Variables

Unnamed: 0
Real number (ℝ)

UNIQUE 

Distinct1184
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean591.5
Minimum0
Maximum1183
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-10-23T23:39:36.842949image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile59.15
Q1295.75
median591.5
Q3887.25
95-th percentile1123.85
Maximum1183
Range1183
Interquartile range (IQR)591.5

Descriptive statistics

Standard deviation341.9356665
Coefficient of variation (CV)0.5780822764
Kurtosis-1.2
Mean591.5
Median Absolute Deviation (MAD)296
Skewness0
Sum700336
Variance116920
MonotonicityStrictly increasing
2023-10-23T23:39:37.117078image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1
 
0.1%
795 1
 
0.1%
793 1
 
0.1%
792 1
 
0.1%
791 1
 
0.1%
790 1
 
0.1%
789 1
 
0.1%
788 1
 
0.1%
787 1
 
0.1%
786 1
 
0.1%
Other values (1174) 1174
99.2%
ValueCountFrequency (%)
0 1
0.1%
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
ValueCountFrequency (%)
1183 1
0.1%
1182 1
0.1%
1181 1
0.1%
1180 1
0.1%
1179 1
0.1%

key_id
Real number (ℝ)

UNIQUE 

Distinct1184
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean592.5
Minimum1
Maximum1184
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-10-23T23:39:37.354043image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile60.15
Q1296.75
median592.5
Q3888.25
95-th percentile1124.85
Maximum1184
Range1183
Interquartile range (IQR)591.5

Descriptive statistics

Standard deviation341.9356665
Coefficient of variation (CV)0.5771066101
Kurtosis-1.2
Mean592.5
Median Absolute Deviation (MAD)296
Skewness0
Sum701520
Variance116920
MonotonicityStrictly increasing
2023-10-23T23:39:37.635043image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
796 1
 
0.1%
794 1
 
0.1%
793 1
 
0.1%
792 1
 
0.1%
791 1
 
0.1%
790 1
 
0.1%
789 1
 
0.1%
788 1
 
0.1%
787 1
 
0.1%
Other values (1174) 1174
99.2%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
ValueCountFrequency (%)
1184 1
0.1%
1183 1
0.1%
1182 1
0.1%
1181 1
0.1%
1180 1
0.1%
Distinct29
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
2023-10-23T23:39:37.892383image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters8288
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowWC-1930
2nd rowWC-1930
3rd rowWC-1930
4th rowWC-1930
5th rowWC-1930
ValueCountFrequency (%)
wc-2006 64
 
5.4%
wc-2018 64
 
5.4%
wc-2002 64
 
5.4%
wc-2014 64
 
5.4%
wc-1998 64
 
5.4%
wc-2010 64
 
5.4%
wc-1986 52
 
4.4%
wc-1994 52
 
4.4%
wc-1990 52
 
4.4%
wc-2019 52
 
4.4%
Other values (19) 592
50.0%
2023-10-23T23:39:38.341046image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
W 1184
14.3%
C 1184
14.3%
- 1184
14.3%
1 1050
12.7%
9 1000
12.1%
0 900
10.9%
2 668
8.1%
8 323
 
3.9%
6 212
 
2.6%
4 197
 
2.4%
Other values (3) 386
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4736
57.1%
Uppercase Letter 2368
28.6%
Dash Punctuation 1184
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1050
22.2%
9 1000
21.1%
0 900
19.0%
2 668
14.1%
8 323
 
6.8%
6 212
 
4.5%
4 197
 
4.2%
5 161
 
3.4%
7 140
 
3.0%
3 85
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
W 1184
50.0%
C 1184
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1184
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5920
71.4%
Latin 2368
 
28.6%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1184
20.0%
1 1050
17.7%
9 1000
16.9%
0 900
15.2%
2 668
11.3%
8 323
 
5.5%
6 212
 
3.6%
4 197
 
3.3%
5 161
 
2.7%
7 140
 
2.4%
Latin
ValueCountFrequency (%)
W 1184
50.0%
C 1184
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8288
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
W 1184
14.3%
C 1184
14.3%
- 1184
14.3%
1 1050
12.7%
9 1000
12.1%
0 900
10.9%
2 668
8.1%
8 323
 
3.9%
6 212
 
2.6%
4 197
 
2.4%
Other values (3) 386
 
4.7%
Distinct29
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
2023-10-23T23:39:38.566509image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Length

Max length27
Median length25
Mean length25.47972973
Min length25

Characters and Unicode

Total characters30168
Distinct characters28
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1930 FIFA Men's World Cup
2nd row1930 FIFA Men's World Cup
3rd row1930 FIFA Men's World Cup
4th row1930 FIFA Men's World Cup
5th row1930 FIFA Men's World Cup
ValueCountFrequency (%)
fifa 1184
20.0%
world 1184
20.0%
cup 1184
20.0%
men's 900
15.2%
women's 284
 
4.8%
2014 64
 
1.1%
1998 64
 
1.1%
2006 64
 
1.1%
2002 64
 
1.1%
2018 64
 
1.1%
Other values (24) 864
14.6%
2023-10-23T23:39:39.009908image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4736
 
15.7%
F 2368
 
7.8%
o 1468
 
4.9%
W 1468
 
4.9%
r 1184
 
3.9%
s 1184
 
3.9%
u 1184
 
3.9%
C 1184
 
3.9%
d 1184
 
3.9%
l 1184
 
3.9%
Other values (18) 13024
43.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11224
37.2%
Uppercase Letter 8288
27.5%
Space Separator 4736
15.7%
Decimal Number 4736
15.7%
Other Punctuation 1184
 
3.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 1468
13.1%
r 1184
10.5%
s 1184
10.5%
u 1184
10.5%
d 1184
10.5%
l 1184
10.5%
n 1184
10.5%
e 1184
10.5%
p 1184
10.5%
m 284
 
2.5%
Decimal Number
ValueCountFrequency (%)
1 1050
22.2%
9 1000
21.1%
0 900
19.0%
2 668
14.1%
8 323
 
6.8%
6 212
 
4.5%
4 197
 
4.2%
5 161
 
3.4%
7 140
 
3.0%
3 85
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
F 2368
28.6%
W 1468
17.7%
C 1184
14.3%
A 1184
14.3%
I 1184
14.3%
M 900
 
10.9%
Space Separator
ValueCountFrequency (%)
4736
100.0%
Other Punctuation
ValueCountFrequency (%)
' 1184
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 19512
64.7%
Common 10656
35.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
F 2368
 
12.1%
o 1468
 
7.5%
W 1468
 
7.5%
r 1184
 
6.1%
s 1184
 
6.1%
u 1184
 
6.1%
C 1184
 
6.1%
d 1184
 
6.1%
l 1184
 
6.1%
n 1184
 
6.1%
Other values (6) 5920
30.3%
Common
ValueCountFrequency (%)
4736
44.4%
' 1184
 
11.1%
1 1050
 
9.9%
9 1000
 
9.4%
0 900
 
8.4%
2 668
 
6.3%
8 323
 
3.0%
6 212
 
2.0%
4 197
 
1.8%
5 161
 
1.5%
Other values (2) 225
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30168
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4736
 
15.7%
F 2368
 
7.8%
o 1468
 
4.9%
W 1468
 
4.9%
r 1184
 
3.9%
s 1184
 
3.9%
u 1184
 
3.9%
C 1184
 
3.9%
d 1184
 
3.9%
l 1184
 
3.9%
Other values (18) 13024
43.2%

match_id
Text

UNIQUE 

Distinct1184
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
2023-10-23T23:39:39.328103image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters10656
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1184 ?
Unique (%)100.0%

Sample

1st rowM-1930-01
2nd rowM-1930-02
3rd rowM-1930-03
4th rowM-1930-04
5th rowM-1930-05
ValueCountFrequency (%)
m-1930-01 1
 
0.1%
m-1930-18 1
 
0.1%
m-1930-04 1
 
0.1%
m-1930-05 1
 
0.1%
m-1930-06 1
 
0.1%
m-1930-07 1
 
0.1%
m-1930-08 1
 
0.1%
m-1930-09 1
 
0.1%
m-1930-10 1
 
0.1%
m-1930-11 1
 
0.1%
Other values (1174) 1174
99.2%
2023-10-23T23:39:40.002768image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2368
22.2%
1 1472
13.8%
0 1268
11.9%
M 1184
11.1%
9 1107
10.4%
2 1048
9.8%
4 439
 
4.1%
8 434
 
4.1%
3 372
 
3.5%
6 357
 
3.4%
Other values (2) 607
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7104
66.7%
Dash Punctuation 2368
 
22.2%
Uppercase Letter 1184
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1472
20.7%
0 1268
17.8%
9 1107
15.6%
2 1048
14.8%
4 439
 
6.2%
8 434
 
6.1%
3 372
 
5.2%
6 357
 
5.0%
5 355
 
5.0%
7 252
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 2368
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 1184
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9472
88.9%
Latin 1184
 
11.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2368
25.0%
1 1472
15.5%
0 1268
13.4%
9 1107
11.7%
2 1048
11.1%
4 439
 
4.6%
8 434
 
4.6%
3 372
 
3.9%
6 357
 
3.8%
5 355
 
3.7%
Latin
ValueCountFrequency (%)
M 1184
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10656
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2368
22.2%
1 1472
13.8%
0 1268
11.9%
M 1184
11.1%
9 1107
10.4%
2 1048
9.8%
4 439
 
4.1%
8 434
 
4.1%
3 372
 
3.5%
6 357
 
3.4%
Other values (2) 607
 
5.7%
Distinct865
Distinct (%)73.1%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
2023-10-23T23:39:40.307408image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Length

Max length36
Median length32
Mean length19.66891892
Min length12

Characters and Unicode

Total characters23288
Distinct characters47
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique640 ?
Unique (%)54.1%

Sample

1st rowFrance vs Mexico
2nd rowUnited States vs Belgium
3rd rowYugoslavia vs Brazil
4th rowRomania vs Peru
5th rowArgentina vs France
ValueCountFrequency (%)
vs 1184
29.9%
germany 159
 
4.0%
brazil 143
 
3.6%
italy 95
 
2.4%
england 95
 
2.4%
sweden 91
 
2.3%
argentina 90
 
2.3%
united 86
 
2.2%
france 85
 
2.1%
states 83
 
2.1%
Other values (95) 1850
46.7%
2023-10-23T23:39:40.833445image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2777
 
11.9%
a 2535
 
10.9%
s 1655
 
7.1%
e 1549
 
6.7%
n 1509
 
6.5%
r 1331
 
5.7%
v 1319
 
5.7%
i 1249
 
5.4%
t 934
 
4.0%
l 908
 
3.9%
Other values (37) 7522
32.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 17756
76.2%
Space Separator 2777
 
11.9%
Uppercase Letter 2755
 
11.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2535
14.3%
s 1655
9.3%
e 1549
 
8.7%
n 1509
 
8.5%
r 1331
 
7.5%
v 1319
 
7.4%
i 1249
 
7.0%
t 934
 
5.3%
l 908
 
5.1%
o 860
 
4.8%
Other values (15) 3907
22.0%
Uppercase Letter
ValueCountFrequency (%)
S 447
16.2%
C 258
9.4%
B 226
 
8.2%
N 210
 
7.6%
A 208
 
7.5%
G 193
 
7.0%
U 178
 
6.5%
I 158
 
5.7%
E 134
 
4.9%
P 112
 
4.1%
Other values (11) 631
22.9%
Space Separator
ValueCountFrequency (%)
2777
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 20511
88.1%
Common 2777
 
11.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2535
 
12.4%
s 1655
 
8.1%
e 1549
 
7.6%
n 1509
 
7.4%
r 1331
 
6.5%
v 1319
 
6.4%
i 1249
 
6.1%
t 934
 
4.6%
l 908
 
4.4%
o 860
 
4.2%
Other values (36) 6662
32.5%
Common
ValueCountFrequency (%)
2777
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23288
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2777
 
11.9%
a 2535
 
10.9%
s 1655
 
7.1%
e 1549
 
6.7%
n 1509
 
6.5%
r 1331
 
5.7%
v 1319
 
5.7%
i 1249
 
5.4%
t 934
 
4.0%
l 908
 
3.9%
Other values (37) 7522
32.3%
Distinct467
Distinct (%)39.4%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
2023-10-23T23:39:41.161951image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters11840
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)8.4%

Sample

1st row1930-07-13
2nd row1930-07-13
3rd row1930-07-14
4th row1930-07-14
5th row1930-07-15
ValueCountFrequency (%)
1934-05-27 8
 
0.7%
1958-06-15 8
 
0.7%
1958-06-08 8
 
0.7%
1958-06-11 7
 
0.6%
1938-06-05 6
 
0.5%
1991-11-19 6
 
0.5%
1991-11-21 6
 
0.5%
1991-11-17 5
 
0.4%
1950-07-02 5
 
0.4%
1954-06-16 4
 
0.3%
Other values (457) 1121
94.7%
2023-10-23T23:39:41.698743image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2456
20.7%
- 2368
20.0%
1 1719
14.5%
6 1218
10.3%
2 1172
9.9%
9 1162
9.8%
7 451
 
3.8%
8 423
 
3.6%
5 307
 
2.6%
4 306
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9472
80.0%
Dash Punctuation 2368
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2456
25.9%
1 1719
18.1%
6 1218
12.9%
2 1172
12.4%
9 1162
12.3%
7 451
 
4.8%
8 423
 
4.5%
5 307
 
3.2%
4 306
 
3.2%
3 258
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 2368
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11840
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2456
20.7%
- 2368
20.0%
1 1719
14.5%
6 1218
10.3%
2 1172
9.9%
9 1162
9.8%
7 451
 
3.8%
8 423
 
3.6%
5 307
 
2.6%
4 306
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11840
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2456
20.7%
- 2368
20.0%
1 1719
14.5%
6 1218
10.3%
2 1172
9.9%
9 1162
9.8%
7 451
 
3.8%
8 423
 
3.6%
5 307
 
2.6%
4 306
 
2.6%
Distinct10
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
2023-10-23T23:39:41.907208image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Length

Max length18
Median length11
Mean length11.41554054
Min length5

Characters and Unicode

Total characters13516
Distinct characters22
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowgroup stage
2nd rowgroup stage
3rd rowgroup stage
4th rowgroup stage
5th rowgroup stage
ValueCountFrequency (%)
group 868
37.2%
stage 868
37.2%
round 111
 
4.8%
of 105
 
4.5%
16 105
 
4.5%
quarter-finals 66
 
2.8%
semi-finals 36
 
1.5%
second 36
 
1.5%
final 34
 
1.5%
quarter-final 32
 
1.4%
Other values (3) 70
 
3.0%
2023-10-23T23:39:42.331207image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
g 1736
12.8%
a 1204
8.9%
r 1202
8.9%
1147
8.5%
o 1120
8.3%
e 1081
8.0%
u 1077
8.0%
s 1058
7.8%
t 1020
7.5%
p 895
6.6%
Other values (12) 1976
14.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11982
88.7%
Space Separator 1147
 
8.5%
Decimal Number 210
 
1.6%
Dash Punctuation 177
 
1.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
g 1736
14.5%
a 1204
10.0%
r 1202
10.0%
o 1120
9.3%
e 1081
9.0%
u 1077
9.0%
s 1058
8.8%
t 1020
8.5%
p 895
7.5%
n 331
 
2.8%
Other values (8) 1258
10.5%
Decimal Number
ValueCountFrequency (%)
6 105
50.0%
1 105
50.0%
Space Separator
ValueCountFrequency (%)
1147
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 177
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11982
88.7%
Common 1534
 
11.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
g 1736
14.5%
a 1204
10.0%
r 1202
10.0%
o 1120
9.3%
e 1081
9.0%
u 1077
9.0%
s 1058
8.8%
t 1020
8.5%
p 895
7.5%
n 331
 
2.8%
Other values (8) 1258
10.5%
Common
ValueCountFrequency (%)
1147
74.8%
- 177
 
11.5%
6 105
 
6.8%
1 105
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13516
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
g 1736
12.8%
a 1204
8.9%
r 1202
8.9%
1147
8.5%
o 1120
8.3%
e 1081
8.0%
u 1077
8.0%
s 1058
7.8%
t 1020
7.5%
p 895
6.6%
Other values (12) 1976
14.6%
Distinct16
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
2023-10-23T23:39:42.526564image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Length

Max length14
Median length7
Mean length8.868243243
Min length7

Characters and Unicode

Total characters10500
Distinct characters27
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowGroup 1
2nd rowGroup 4
3rd rowGroup 2
4th rowGroup 3
5th rowGroup 1
ValueCountFrequency (%)
group 868
36.7%
not 316
 
13.3%
applicable 316
 
13.3%
b 114
 
4.8%
a 114
 
4.8%
c 102
 
4.3%
d 90
 
3.8%
e 66
 
2.8%
f 66
 
2.8%
1 62
 
2.6%
Other values (7) 254
 
10.7%
2023-10-23T23:39:42.935051image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
p 1500
14.3%
o 1184
11.3%
1184
11.3%
G 904
8.6%
u 868
8.3%
r 868
8.3%
a 632
 
6.0%
l 632
 
6.0%
c 317
 
3.0%
e 316
 
3.0%
Other values (17) 2095
20.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7581
72.2%
Uppercase Letter 1491
 
14.2%
Space Separator 1184
 
11.3%
Decimal Number 244
 
2.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p 1500
19.8%
o 1184
15.6%
u 868
11.4%
r 868
11.4%
a 632
8.3%
l 632
8.3%
c 317
 
4.2%
e 316
 
4.2%
n 316
 
4.2%
b 316
 
4.2%
Other values (2) 632
8.3%
Uppercase Letter
ValueCountFrequency (%)
G 904
60.6%
B 114
 
7.6%
A 114
 
7.6%
C 101
 
6.8%
D 90
 
6.0%
F 66
 
4.4%
E 66
 
4.4%
H 36
 
2.4%
Decimal Number
ValueCountFrequency (%)
1 62
25.4%
2 59
24.2%
3 56
23.0%
4 55
22.5%
6 6
 
2.5%
5 6
 
2.5%
Space Separator
ValueCountFrequency (%)
1184
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9072
86.4%
Common 1428
 
13.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
p 1500
16.5%
o 1184
13.1%
G 904
10.0%
u 868
9.6%
r 868
9.6%
a 632
7.0%
l 632
7.0%
c 317
 
3.5%
e 316
 
3.5%
n 316
 
3.5%
Other values (10) 1535
16.9%
Common
ValueCountFrequency (%)
1184
82.9%
1 62
 
4.3%
2 59
 
4.1%
3 56
 
3.9%
4 55
 
3.9%
6 6
 
0.4%
5 6
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10500
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
p 1500
14.3%
o 1184
11.3%
1184
11.3%
G 904
8.6%
u 868
8.3%
r 868
8.3%
a 632
 
6.0%
l 632
 
6.0%
c 317
 
3.0%
e 316
 
3.0%
Other values (17) 2095
20.0%
Distinct474
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
2023-10-23T23:39:43.349067image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5920
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique173 ?
Unique (%)14.6%

Sample

1st rowR-251
2nd rowR-260
3rd rowR-430
4th rowR-472
5th rowR-116
ValueCountFrequency (%)
r-202 11
 
0.9%
r-342 10
 
0.8%
r-120 9
 
0.8%
r-346 9
 
0.8%
r-322 9
 
0.8%
r-400 9
 
0.8%
r-238 8
 
0.7%
r-357 8
 
0.7%
r-025 8
 
0.7%
r-236 7
 
0.6%
Other values (464) 1096
92.6%
2023-10-23T23:39:43.925831image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
R 1184
20.0%
- 1184
20.0%
3 502
8.5%
2 501
8.5%
1 481
8.1%
0 460
 
7.8%
4 449
 
7.6%
9 248
 
4.2%
7 245
 
4.1%
5 241
 
4.1%
Other values (2) 425
 
7.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3552
60.0%
Uppercase Letter 1184
 
20.0%
Dash Punctuation 1184
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 502
14.1%
2 501
14.1%
1 481
13.5%
0 460
13.0%
4 449
12.6%
9 248
7.0%
7 245
6.9%
5 241
6.8%
6 219
6.2%
8 206
5.8%
Uppercase Letter
ValueCountFrequency (%)
R 1184
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1184
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4736
80.0%
Latin 1184
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1184
25.0%
3 502
10.6%
2 501
10.6%
1 481
10.2%
0 460
 
9.7%
4 449
 
9.5%
9 248
 
5.2%
7 245
 
5.2%
5 241
 
5.1%
6 219
 
4.6%
Latin
ValueCountFrequency (%)
R 1184
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5920
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
R 1184
20.0%
- 1184
20.0%
3 502
8.5%
2 501
8.5%
1 481
8.1%
0 460
 
7.8%
4 449
 
7.6%
9 248
 
4.2%
7 245
 
4.1%
5 241
 
4.1%
Other values (2) 425
 
7.2%
Distinct466
Distinct (%)39.4%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
2023-10-23T23:39:44.271155image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Length

Max length18
Median length16
Mean length7.636824324
Min length2

Characters and Unicode

Total characters9042
Distinct characters75
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique169 ?
Unique (%)14.3%

Sample

1st rowLombardi
2nd rowMacías
3rd rowTejada
4th rowWarnken
5th rowde Almeida Rêgo
ValueCountFrequency (%)
de 16
 
1.2%
van 13
 
1.0%
irmatov 11
 
0.8%
petignat 10
 
0.7%
rodríguez 10
 
0.7%
seitz 9
 
0.7%
pitana 9
 
0.7%
ogston 9
 
0.7%
denoncourt 9
 
0.7%
quiniou 8
 
0.6%
Other values (497) 1232
92.2%
2023-10-23T23:39:44.858229image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 946
 
10.5%
e 808
 
8.9%
i 685
 
7.6%
r 619
 
6.8%
n 587
 
6.5%
o 554
 
6.1%
l 439
 
4.9%
s 390
 
4.3%
t 353
 
3.9%
u 285
 
3.2%
Other values (65) 3376
37.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7517
83.1%
Uppercase Letter 1338
 
14.8%
Space Separator 152
 
1.7%
Dash Punctuation 31
 
0.3%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 946
12.6%
e 808
10.7%
i 685
 
9.1%
r 619
 
8.2%
n 587
 
7.8%
o 554
 
7.4%
l 439
 
5.8%
s 390
 
5.2%
t 353
 
4.7%
u 285
 
3.8%
Other values (34) 1851
24.6%
Uppercase Letter
ValueCountFrequency (%)
M 122
 
9.1%
B 112
 
8.4%
S 102
 
7.6%
R 101
 
7.5%
C 90
 
6.7%
A 84
 
6.3%
G 84
 
6.3%
L 75
 
5.6%
P 75
 
5.6%
D 67
 
5.0%
Other values (18) 426
31.8%
Space Separator
ValueCountFrequency (%)
152
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%
Other Punctuation
ValueCountFrequency (%)
' 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8855
97.9%
Common 187
 
2.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 946
 
10.7%
e 808
 
9.1%
i 685
 
7.7%
r 619
 
7.0%
n 587
 
6.6%
o 554
 
6.3%
l 439
 
5.0%
s 390
 
4.4%
t 353
 
4.0%
u 285
 
3.2%
Other values (62) 3189
36.0%
Common
ValueCountFrequency (%)
152
81.3%
- 31
 
16.6%
' 4
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8855
97.9%
None 187
 
2.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 946
 
10.7%
e 808
 
9.1%
i 685
 
7.7%
r 619
 
7.0%
n 587
 
6.6%
o 554
 
6.3%
l 439
 
5.0%
s 390
 
4.4%
t 353
 
4.0%
u 285
 
3.2%
Other values (44) 3189
36.0%
None
ValueCountFrequency (%)
á 53
28.3%
í 34
18.2%
é 18
 
9.6%
ö 13
 
7.0%
ć 13
 
7.0%
ó 10
 
5.3%
Ç 6
 
3.2%
ı 6
 
3.2%
ç 6
 
3.2%
ľ 5
 
2.7%
Other values (11) 23
12.3%
Distinct404
Distinct (%)34.1%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
2023-10-23T23:39:45.233514image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Length

Max length16
Median length14
Mean length6.336148649
Min length2

Characters and Unicode

Total characters7502
Distinct characters73
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique126 ?
Unique (%)10.6%

Sample

1st rowDomingo
2nd rowJosé
3rd rowAníbal
4th rowAlberto
5th rowGilberto
ValueCountFrequency (%)
carlos 30
 
2.4%
josé 18
 
1.4%
juan 16
 
1.3%
arturo 16
 
1.3%
antonio 15
 
1.2%
john 14
 
1.1%
alberto 13
 
1.0%
ali 11
 
0.9%
roberto 11
 
0.9%
ravshan 11
 
0.9%
Other values (401) 1118
87.8%
2023-10-23T23:39:45.895329image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 792
 
10.6%
i 616
 
8.2%
o 597
 
8.0%
r 582
 
7.8%
n 537
 
7.2%
e 471
 
6.3%
l 410
 
5.5%
t 262
 
3.5%
s 243
 
3.2%
u 237
 
3.2%
Other values (63) 2755
36.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6101
81.3%
Uppercase Letter 1285
 
17.1%
Space Separator 89
 
1.2%
Dash Punctuation 27
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 792
13.0%
i 616
10.1%
o 597
9.8%
r 582
9.5%
n 537
 
8.8%
e 471
 
7.7%
l 410
 
6.7%
t 262
 
4.3%
s 243
 
4.0%
u 237
 
3.9%
Other values (31) 1354
22.2%
Uppercase Letter
ValueCountFrequency (%)
A 144
 
11.2%
J 122
 
9.5%
M 112
 
8.7%
C 92
 
7.2%
R 85
 
6.6%
E 82
 
6.4%
S 79
 
6.1%
K 64
 
5.0%
G 57
 
4.4%
B 53
 
4.1%
Other values (20) 395
30.7%
Space Separator
ValueCountFrequency (%)
89
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7386
98.5%
Common 116
 
1.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 792
 
10.7%
i 616
 
8.3%
o 597
 
8.1%
r 582
 
7.9%
n 537
 
7.3%
e 471
 
6.4%
l 410
 
5.6%
t 262
 
3.5%
s 243
 
3.3%
u 237
 
3.2%
Other values (61) 2639
35.7%
Common
ValueCountFrequency (%)
89
76.7%
- 27
 
23.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7315
97.5%
None 187
 
2.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 792
 
10.8%
i 616
 
8.4%
o 597
 
8.2%
r 582
 
8.0%
n 537
 
7.3%
e 471
 
6.4%
l 410
 
5.6%
t 262
 
3.6%
s 243
 
3.3%
u 237
 
3.2%
Other values (44) 2568
35.1%
None
ValueCountFrequency (%)
é 61
32.6%
á 27
14.4%
í 15
 
8.0%
ó 14
 
7.5%
ö 12
 
6.4%
ë 8
 
4.3%
ü 8
 
4.3%
Á 7
 
3.7%
ê 7
 
3.7%
Ó 6
 
3.2%
Other values (9) 22
 
11.8%
Distinct99
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
2023-10-23T23:39:46.240254image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Length

Max length20
Median length16
Mean length7.71875
Min length4

Characters and Unicode

Total characters9139
Distinct characters49
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.8%

Sample

1st rowUruguay
2nd rowArgentina
3rd rowUruguay
4th rowChile
5th rowBrazil
ValueCountFrequency (%)
germany 56
 
4.2%
italy 55
 
4.1%
brazil 49
 
3.6%
mexico 49
 
3.6%
france 48
 
3.6%
argentina 47
 
3.5%
switzerland 47
 
3.5%
england 44
 
3.3%
united 41
 
3.1%
uruguay 35
 
2.6%
Other values (102) 872
64.9%
2023-10-23T23:39:46.823631image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1225
 
13.4%
n 762
 
8.3%
e 739
 
8.1%
i 644
 
7.0%
r 611
 
6.7%
l 501
 
5.5%
t 489
 
5.4%
o 343
 
3.8%
u 319
 
3.5%
d 294
 
3.2%
Other values (39) 3212
35.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7638
83.6%
Uppercase Letter 1342
 
14.7%
Space Separator 159
 
1.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1225
16.0%
n 762
10.0%
e 739
9.7%
i 644
 
8.4%
r 611
 
8.0%
l 501
 
6.6%
t 489
 
6.4%
o 343
 
4.5%
u 319
 
4.2%
d 294
 
3.8%
Other values (15) 1711
22.4%
Uppercase Letter
ValueCountFrequency (%)
S 241
18.0%
A 117
 
8.7%
U 111
 
8.3%
C 108
 
8.0%
B 91
 
6.8%
E 83
 
6.2%
G 74
 
5.5%
I 74
 
5.5%
N 63
 
4.7%
F 59
 
4.4%
Other values (13) 321
23.9%
Space Separator
ValueCountFrequency (%)
159
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8980
98.3%
Common 159
 
1.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1225
13.6%
n 762
 
8.5%
e 739
 
8.2%
i 644
 
7.2%
r 611
 
6.8%
l 501
 
5.6%
t 489
 
5.4%
o 343
 
3.8%
u 319
 
3.6%
d 294
 
3.3%
Other values (38) 3053
34.0%
Common
ValueCountFrequency (%)
159
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9139
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1225
 
13.4%
n 762
 
8.3%
e 739
 
8.1%
i 644
 
7.0%
r 611
 
6.7%
l 501
 
5.5%
t 489
 
5.4%
o 343
 
3.8%
u 319
 
3.5%
d 294
 
3.2%
Other values (39) 3212
35.1%
Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
2023-10-23T23:39:47.002528image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4736
Distinct characters9
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCF-4
2nd rowCF-4
3rd rowCF-4
4th rowCF-4
5th rowCF-4
ValueCountFrequency (%)
cf-6 618
52.2%
cf-4 215
 
18.2%
cf-1 136
 
11.5%
cf-3 131
 
11.1%
cf-2 72
 
6.1%
cf-5 12
 
1.0%
2023-10-23T23:39:47.363158image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 1184
25.0%
F 1184
25.0%
- 1184
25.0%
6 618
13.0%
4 215
 
4.5%
1 136
 
2.9%
3 131
 
2.8%
2 72
 
1.5%
5 12
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 2368
50.0%
Dash Punctuation 1184
25.0%
Decimal Number 1184
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 618
52.2%
4 215
 
18.2%
1 136
 
11.5%
3 131
 
11.1%
2 72
 
6.1%
5 12
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 1184
50.0%
F 1184
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1184
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2368
50.0%
Common 2368
50.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1184
50.0%
6 618
26.1%
4 215
 
9.1%
1 136
 
5.7%
3 131
 
5.5%
2 72
 
3.0%
5 12
 
0.5%
Latin
ValueCountFrequency (%)
C 1184
50.0%
F 1184
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4736
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 1184
25.0%
F 1184
25.0%
- 1184
25.0%
6 618
13.0%
4 215
 
4.5%
1 136
 
2.9%
3 131
 
2.8%
2 72
 
1.5%
5 12
 
0.3%
Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
2023-10-23T23:39:47.570132image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Length

Max length75
Median length39
Mean length40.90033784
Min length28

Characters and Unicode

Total characters48426
Distinct characters27
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSouth American Football Confederation
2nd rowSouth American Football Confederation
3rd rowSouth American Football Confederation
4th rowSouth American Football Confederation
5th rowSouth American Football Confederation
ValueCountFrequency (%)
football 1184
20.2%
of 821
14.0%
union 618
10.5%
european 618
10.5%
associations 618
10.5%
confederation 566
9.7%
american 346
 
5.9%
south 215
 
3.7%
asian 136
 
2.3%
north 131
 
2.2%
Other values (6) 608
10.4%
2023-10-23T23:39:47.980445image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 7401
15.3%
n 4694
 
9.7%
4677
 
9.7%
a 4219
 
8.7%
i 3379
 
7.0%
t 2976
 
6.1%
l 2499
 
5.2%
e 2370
 
4.9%
s 2252
 
4.7%
r 1995
 
4.1%
Other values (17) 11964
24.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 38709
79.9%
Uppercase Letter 4909
 
10.1%
Space Separator 4677
 
9.7%
Other Punctuation 131
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 7401
19.1%
n 4694
12.1%
a 4219
10.9%
i 3379
8.7%
t 2976
7.7%
l 2499
 
6.5%
e 2370
 
6.1%
s 2252
 
5.8%
r 1995
 
5.2%
f 1459
 
3.8%
Other values (7) 5465
14.1%
Uppercase Letter
ValueCountFrequency (%)
A 1303
26.5%
F 1184
24.1%
C 828
16.9%
U 618
12.6%
E 618
12.6%
S 215
 
4.4%
N 131
 
2.7%
O 12
 
0.2%
Space Separator
ValueCountFrequency (%)
4677
100.0%
Other Punctuation
ValueCountFrequency (%)
, 131
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 43618
90.1%
Common 4808
 
9.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 7401
17.0%
n 4694
10.8%
a 4219
9.7%
i 3379
 
7.7%
t 2976
 
6.8%
l 2499
 
5.7%
e 2370
 
5.4%
s 2252
 
5.2%
r 1995
 
4.6%
f 1459
 
3.3%
Other values (15) 10374
23.8%
Common
ValueCountFrequency (%)
4677
97.3%
, 131
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 48426
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 7401
15.3%
n 4694
 
9.7%
4677
 
9.7%
a 4219
 
8.7%
i 3379
 
7.0%
t 2976
 
6.1%
l 2499
 
5.2%
e 2370
 
4.9%
s 2252
 
4.7%
r 1995
 
4.1%
Other values (17) 11964
24.7%
Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
2023-10-23T23:39:48.162910image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.983108108
Min length3

Characters and Unicode

Total characters5900
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCONMEBOL
2nd rowCONMEBOL
3rd rowCONMEBOL
4th rowCONMEBOL
5th rowCONMEBOL
ValueCountFrequency (%)
uefa 618
52.2%
conmebol 215
 
18.2%
afc 136
 
11.5%
concacaf 131
 
11.1%
caf 72
 
6.1%
ofc 12
 
1.0%
2023-10-23T23:39:48.646224image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 1088
18.4%
F 969
16.4%
E 833
14.1%
C 828
14.0%
U 618
10.5%
O 573
9.7%
N 346
 
5.9%
M 215
 
3.6%
B 215
 
3.6%
L 215
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 5900
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 1088
18.4%
F 969
16.4%
E 833
14.1%
C 828
14.0%
U 618
10.5%
O 573
9.7%
N 346
 
5.9%
M 215
 
3.6%
B 215
 
3.6%
L 215
 
3.6%

Most occurring scripts

ValueCountFrequency (%)
Latin 5900
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 1088
18.4%
F 969
16.4%
E 833
14.1%
C 828
14.0%
U 618
10.5%
O 573
9.7%
N 346
 
5.9%
M 215
 
3.6%
B 215
 
3.6%
L 215
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5900
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A 1088
18.4%
F 969
16.4%
E 833
14.1%
C 828
14.0%
U 618
10.5%
O 573
9.7%
N 346
 
5.9%
M 215
 
3.6%
B 215
 
3.6%
L 215
 
3.6%